Biophysics of Computation: Information Processing in Single Neurons (computational Neuroscience Series)

1. The membrane equation 2. Linear cable theory 3. Passive dendritic trees 4. Synaptic input 5. Synaptic interactions in a passive dendritic tree 6. The Hodgkin-Huxley model of action-potential generation 7. Phase space analysis of neuronal excitability 8. Ionic channels 9. Beyond Hodgkin and Huxley: calcium, and calcium-dependent potassium currents 10. Linearizing voltage-dependent currents 11. Diffusion, buffering, and binding 12. Dendritic spines 13. Synaptic plasticity 14. Simplified models of individual neurons 15. Stochastic models of single cells 16. Bursting cells 17. Input resistance, time constants, and spike initiation 18. Synaptic input to a passive tree 19. Voltage-dependent events in the dendritic tree 20. Unconventional coupling 21. Computing with neurons - a summary